metadata

library_name: transformers
license: apache-2.0
base_model: ustc-community/dfine-nano-coco
tags:
  - generated_from_trainer
model-index:
  - name: d-fine-m-cppe5-finetune-3
    results: []

d-fine-m-cppe5-finetune-3

This model is a fine-tuned version of ustc-community/dfine-nano-coco on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 1.7779
eval_runtime: 4.1804
eval_samples_per_second: 154.053
eval_steps_per_second: 19.376
epoch: 7.8431
step: 12000

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 300
num_epochs: 30

Framework versions

Transformers 4.52.0.dev0
Pytorch 2.6.0
Datasets 3.6.0
Tokenizers 0.21.1